Move Over OCR – 5 Reasons Why CMR Will Help You Reach IA Aspirations

Optical Character Recognition, OCR, has been around for what feels like forever. It’s become the industry’s most widely accepted tool for data ingestion. Yet, OCR fails spectacularly in meeting the biggest challenge enterprises face – ingestion of all process data, before transportation through RPA. Namely, OCR struggles with accessing unstructured, inferred data and images which comprises 80% of an enterprise’s data.

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ANTBITES BLOG

How to Fix Your Broken Mortgage Loan Process

Typical mortgage loan processing is known for the “stare and compare” job role. Literally it is the job of loan processors to stare at one source of data and make sure the same information is entered into the ...

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Top 3 Reasons Why Automation is Required for Straight-Through Processing

Even though your mortgage organisation may be running on what you think is the best technology for mortgage processing, you may be missing out on straight-through processing (STP) ...

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Set your Data Capture to warp 10

The Star Trek franchise of films and TV series, watched by millions around the world, pioneered warp speed spaceships such as the USS Enterprise, as well as themes such as Artificial Intelligence (AI). They ...

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Empowering Industry 4.0 with Artificial Intelligence

As Al emerges from reel- life to real-life to become the frontier of world- changing technologies, there is an urgent need for systematic development and implementation of AI ...

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2020s: The decade we solve the unstructured data challenge

Isaac Asimov, the acclaimed writer and roboticist, wrote in his novel I, Robot in 1950 that robots and AI were banned from Earth in the year 2030. Instead of banning them, we’re likely to see huge advances in ...

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The Journey of Integration Automation Success

The results are in: according to a recent HFS Research survey, business leaders know that applying a piecemeal, task-based approach to automation within organisational silos ...

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Solving the Mystery of Handwriting Recognition, Part 2

In my previous blog, I discussed the challenges of cursive handwriting extraction, as well as dimensionality reduction and the importance of feature selection. Dimensionality ...

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Integrate to scale. Fragment to fail.

According to a new survey from HFS Research, the biggest challenge noted by senior enterprise leaders in achieving target automation objectives is scalability. ...

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Beyond Automation Nirvana

Business moves fast. Customer desires, technological advances, organisational requirements, financial constraints and regulations all require business leaders ...

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Solving the Mystery of Handwriting Recognition, Part 1

In the era of data deluge, efficient data curation is a persistent challenge across organisations. Efficient data curation is aimed at the end-to-end ...

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Intelligent Automation – How was it for you?

Survey reveals how ‘real’ enterprises are benefiting from an IA platform approach.You can talk as much as you like about the theory of how enterprises are using and scaling intelligent automation (IA). ...

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Automation transforms re/insurance processes

Even after years of experience, senior underwriters can still spend a large part of their day doing the administrative tasks that they were taught early in their careers. AntWorks, a global artificial ...

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